A global technology organisation is looking for a Full Stack Software Engineer to develop and enhance a range of data-driven applications, cloud platforms and intelligent software tools.
This is a hands-on, full-stack engineering role combining backend development, cloud infrastructure, web technologies and emerging AI capabilities. Youll help build applications that improve business processes, support decision-making and deliver better user experiences across a range of teams.
Working within a small, collaborative engineering team, youll contribute to technical design decisions, develop new features and help evolve existing applications into scalable, reliable production platforms. The role offers exposure to a broad technology stack and the opportunity to work on practical AI integrations alongside established software engineering projects.
Key Responsibilities
- Design, develop and maintain applications across the full stack, from backend services and APIs to user-facing interfaces.
- Build production software using Python, TypeScript and modern web technologies.
- Develop cloud-based applications and services using AWS and other cloud platforms.
- Integrate applications with data pipelines, enterprise systems and external services.
- Build AI-powered features, including LLM integrations, prompt orchestration and tools that connect AI agents with data and services.
- Contribute to architectural and technical decisions, evaluating frameworks, tools and implementation approaches.
- Develop proof-of-concepts to assess new technologies and demonstrate potential solutions.
- Investigate and resolve production issues, optimise application performance and improve software reliability.
- Design efficient data processing and integration patterns for applications handling large datasets.
- Implement authentication and authorisation mechanisms for secure enterprise applications.
- Support infrastructure deployment, Infrastructure as Code and CI/CD pipeline development.
- Collaborate with engineering, product, data and business stakeholders to define requirements and deliver new features.
- Help scale successful applications into robust, maintainable platforms suitable for wider adoption.
Essential Requirements
- Strong Python development experience, including building production applications.
- Practical experience with AWS services such as Lambda, ECS/Fargate, S3 and API Gateway.
- Experience deploying and managing containerised applications using Docker.
- Good SQL skills and experience working with data warehouses.
- Hands-on experience with Infrastructure as Code, particularly Terraform.
- Proficiency with Git and modern CI/CD workflows.
- Experience contributing to the design and implementation of multi-component software systems.
- An interest in using AI-assisted development tools and building AI-enabled software features.
- Strong problem-solving skills and the ability to collaborate effectively within a cross-functional team.
Desirable Experience
- Modern web development frameworks, particularly Next.js, React and TypeScript.
- Google Cloud Platform services, especially BigQuery.
- Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control.
- Developing and optimising applications that process high volumes of data.
- Experience with B2B SaaS platforms, CRM systems or business productivity tools.
- Designing and automating ETL and data integration pipelines at scale.
- Supporting the evolution of early-stage applications into enterprise-grade platforms.
- Agile development methodologies and tools such as Jira.
- Full-stack development spanning infrastructure, backend services and frontend interfaces.
- Understanding how technical decisions influence business outcomes, usability and user adoption.
- Automated document generation or data visualisation libraries.
- Building applications with LLMs and AI APIs.
- Familiarity with AI orchestration, retrieval-augmented generation (RAG), or agent and tool frameworks such as the Model Context Protocol (MCP).
The Opportunity
This role is ideal for a Software Engineer who enjoys working across the full development lifecycle and wants to broaden their experience across cloud technologies, data-driven applications and AI-enabled solutions.
Youll join a collaborative engineering environment where you can contribute ideas, take ownership of development work and help deliver scalable software with tangible business value.
Interested in learning more? Contact Tom Todd at Holt Executive to discuss the opportunity in confidence.
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A global technology organisation is seeking an experienced Senior Solutions Architect to help shape and develop a suite of data-driven software platforms that support commercial operations, customer engagement and business growth.
This is a hands-on technical leadership role combining software architecture, full-stack development, cloud infrastructure and emerging AI technologies. Youll help define the architecture of web applications, automated document generation systems and cloud-based platforms, making key technical decisions from initial design through to production deployment.
Working within a small, collaborative team, youll share technical ownership of the platform, mentor engineers and help evolve successful early-stage solutions into scalable, enterprise-grade applications.
The role offers the opportunity to influence technology strategy while remaining closely involved in coding, prototyping and delivering practical solutions to real business challenges.
Key Responsibilities
- Lead the architecture and development of scalable, multi-component software applications across the full stack.
- Design and implement backend services, APIs, frontend interfaces and integrations between enterprise systems.
- Develop production applications using Python, TypeScript and modern web technologies.
- Architect cloud-based solutions using AWS services, including Lambda, ECS/Fargate, S3 and API Gateway.
- Design and manage infrastructure using Terraform, Docker and modern CI/CD pipelines.
- Evaluate new technologies through proof-of-concepts and make informed architectural recommendations.
- Explore and implement AI-powered capabilities, including LLM integrations, agent frameworks and tool-augmented workflows.
- Optimise application performance, reliability, security and maintainability across high-volume data environments.
- Work closely with product, analytics, data engineering and commercial stakeholders to translate business needs into technical solutions.
- Define integration patterns, authentication and authorisation approaches, API contracts and scalable system architectures.
- Support the evolution of early-stage applications into robust platforms suitable for enterprise deployment.
- Provide technical guidance, mentor engineers and promote software engineering best practices.
Essential Requirements
- Extensive Python development experience, building and maintaining production applications.
- Strong AWS experience, particularly with Lambda, ECS/Fargate, S3 and API Gateway.
- Proven experience deploying and managing containerised applications using Docker.
- Strong SQL skills and experience working with data warehouses.
- Hands-on experience with Infrastructure as Code, particularly Terraform.
- Proficiency with Git, CI/CD pipelines and modern software delivery practices.
- Demonstrable experience designing and delivering multi-component software systems, from architecture through to production.
- Experience making architectural decisions and balancing technical trade-offs in a fast-paced environment.
- Strong problem-solving skills and the ability to communicate technical decisions to both technical and non-technical stakeholders.
Desirable Experience
- Modern web development using Next.js, React and TypeScript.
- Google Cloud Platform services, particularly BigQuery and Cloud Run.
- Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control.
- Designing and optimising applications that process large datasets at scale.
- Experience with B2B SaaS platforms, CRM systems or sales enablement tools.
- Scaling minimum viable products into enterprise-grade applications.
- Agile development methodologies and tools such as Jira.
- Full-stack development spanning cloud infrastructure, backend services and frontend interfaces.
- Mentoring engineers and establishing technical standards and best practices.
- Automated document generation, data visualisation or similar application capabilities.
- Integrating LLM APIs into production applications and developing AI-powered features.
- Familiarity with the Model Context Protocol (MCP), AI agent frameworks or tool-enabled LLM workflows.
- Experience developing customer onboarding, self-service or customer success platforms.
The Opportunity
This position is suited to a technically strong architect who enjoys staying hands-on with development while influencing the wider direction of a software platform.
Youll have the opportunity to shape architectural decisions, introduce new technologies and develop scalable solutions that deliver measurable business value, working within a collaborative environment with the backing and resources of an established global organisation.
Interested in learning more? Contact Tom Todd at Holt Executive to discuss the opportunity in confidence.
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